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| Hallgatói adatlap |
 Print preview| Publications |
2020
 from data base, 2020. VI. 04. |
Szemenyei Márton: Neural Graph Node Classification vie Self-Attention, In: Kiss, Bálint; Szirmay-Kalos, László (szerk.) Proceedings of the Workshop on the Advances of Information Technology 2020, BME VIK Irányítástechnika és Informatika Tanszék (2020) pp. 33-38.
type of document: Part of book/Proceedings Paper
language: English
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2019
from data base, 2020. VI. 04. |
Szemenyei Márton, Estivill-Castro Vladimir: ROBO: Robust, Fully Neural Object Detection for Robot Soccer, In: Chalup, Stephan; Niemueller, Tim; Suthakorn, Jackrit; Williams, Mary-Anne (szerk.) RoboCup 2019: Robot World Cup XXIII, Springer International Publishing (2019) pp. 309-322.
type of document: Part of book/Proceedings Paper
language: English
URL |
2018
from data base, 2020. VI. 04. |
Szemenyei Márton: Evolutionary Scene Arrangement for Adaptive Augmented Reality Systems, In: Bálint, Kiss; László, Szirmay-Kalos (szerk.) Proceedings of the Workshop on the Advances of Information Technology, BME Irányítástechnika és Informatika Tanszék (2018) pp. 10-17.
type of document: Part of book/Proceedings Paper
language: English
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2018
from data base, 2020. VI. 04. |
Szemenyei Márton, Vajda Ferenc: 3D Object Detection and Scene Optimization for Tangible Augmented Reality, PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 62: (2) pp. 25-37.
type of document: Journal paper/Article
language: English
URL |
2017
from data base, 2020. VI. 04. |
Szemenyei Márton, Vajda Ferenc: 3D Object Detection using Vectorial Graph Node Embedding, In: Kiss, Bálint; Szirmay-Kalos, László (szerk.) Proceedings of the Workshop on the Advances of Information Technology, BME Irányítástechnika és Informatika Tanszék (2017) pp. 45-52.
type of document: Part of book/Proceedings Paper
language: English
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2017
from data base, 2020. VI. 04. |
Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Objects Composed of Vector Sets, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE 27: (1) pp. 169-180.
type of document: Journal paper/Article
number of independent citations: 3
language: English
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2016
from data base, 2020. VI. 04. |
Szemenyei Márton, Vajda Ferenc: Optimal Feature Selection for Objects Composed of Vector Sets, In: Szirmay-Kalos, L; Renner, G (szerk.) VIII. Magyar Számítógépes Grafika és Geometria Konferencia, GRAFGEO 2016, Neumann János Számítógép-tudományi Társaság (NJSZT) (2016) pp. 7-14.
type of document: Part of book/Proceedings Paper
language: English
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2016
from data base, 2020. VI. 04. |
Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Structured Composite Classes in Multi-Object Environments, In: Valeri, Mladenov (szerk.) Proceedings of the 15th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, WSEAS Press (2016) pp. 134-141.
type of document: Part of book/Proceedings Paper
language: English
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2015
from data base, 2020. VI. 04. |
Szemenyei Márton, Vajda Ferenc: Learning 3D Object Recognition Using Graphs Based on Primitive Shapes, In: B, Kiss; L, Szirmay-Kalos (szerk.) Proceedings of the Workshop on the Advances of Information Technology, BME Irányítástechnika és Informatika Tanszék (2015) pp. 126-133.
type of document: Part of book/Proceedings Paper
language: English
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2014
from data base, 2016. III. 18. |
Szemenyei Márton, Vajda Ferenc: Learning Shape Matching for Augmented Reality, In: Szerk.: Szirmay-Kalos László, Szerk.: Renner Gábor VII. Magyar Számítógépes Grafika és Geometria Konferencia. Budapest: Neumann János Számítógép-tudományi Társaság, 2014. pp. 67-71.
type of document: Part of book/Proceedings Paper
language: English
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| | Number of independent citations to these publications: | 3 |
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